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Showing 1 to 15 of 22 results Save | Export
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von Frank, Valerie – Journal of Staff Development, 2013
Principal Wilma Culton's professional development in the last few years has had her setting out for Singapore, conferencing in Canada, and bopping over to Berlin to check out what experts and the best educators around the world know about helping kids learn. The head of a primary school just outside Melbourne, Australia, Culton is a prime example…
Descriptors: Foreign Countries, Principals, Professional Development, Educational Improvement
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Hirsh, Stephanie; Hord, Shirley – Journal of Staff Development, 2012
This article is an excerpt from "A Playbook for Professional Learning: Putting the Standards Into Action" (Learning Forward, 2012). Written by Learning Forward Executive Director Stephanie Hirsh and Scholar Laureate Shirley Hord, "A Playbook for Professional Learning" provides those who work in professional learning with readily accessible…
Descriptors: Data, Information Utilization, Data Analysis, Academic Achievement
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Bergman, Barbara – Journal of Staff Development, 2012
Teachers in the Federal Way (Wash.) Public Schools had no shortage of student data. Standardized test scores, unit tests, and report card grades were as familiar to educators as reading, writing, and arithmetic. With the onset of statewide testing in the 1990s, data analysis was expanded to cover a multitude of state learning goals in grades 4, 7,…
Descriptors: Academic Achievement, Data Analysis, Data Interpretation, Evaluation Utilization
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Hill, Rachelle; Rapp, Lori – Journal of Staff Development, 2012
Schools and districts are inundated with data from a variety of sources. As a result, using data to guide instructional planning can be daunting for teachers and schools. While schools and districts are dealing with shrinking budgets and growing demands for high student achievement, an investment in school-based coaching can provide exponential…
Descriptors: Teaching Methods, Educational Change, Data Analysis, Coaching (Performance)
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Herman, Phillip; Wardrip, Peter; Hall, Ashley; Chimino, Amy – Journal of Staff Development, 2012
Improving systematic use of student data to inform the work of teachers, schools, and districts has become a hot topic in education reform. Learning Forward's Standards for Professional Learning stress better use of data, and particularly student performance data, within an integrated approach to improving practice. While better use of data by…
Descriptors: Teacher Collaboration, Elementary School Teachers, Instructional Improvement, Workplace Learning
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Conzemius, Anne – Journal of Staff Development, 2012
This article discusses five generally accepted reasons to use data as a part of an educator's ongoing professional practice. Of course, there are many other more specific reasons one might look at data, but these five cover the overarching need in an educational setting. The five major purposes for using data are: (1) To enhance understanding and…
Descriptors: Data Analysis, Teaching (Occupation), Educational Practices, Perspective Taking
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Reeves, Douglas B.; Flach, Tony – Journal of Staff Development, 2011
Learning Forward's Standards for Professional Learning have the potential to influence educational policy and practice in profound ways for the systems that are courageous enough to take them seriously, and the Data standard is a critical element systemwide. Schools are overwhelmed with data warehouses, colorful charts and graphs, and endless…
Descriptors: Feedback (Response), Incentives, Academic Achievement, Leadership Effectiveness
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Easton, Lois Brown – Journal of Staff Development, 2008
Variety may be the spice of life, but in terms of data sources, variety is more than a spice--it is one of the basic food groups. Alternative data sources, such as student interviews and walk-throughs, are essential for a well-balanced diet. Data from test scores alone, whether from norm-referenced or criterion-referenced tests, state, district,…
Descriptors: Academic Achievement, Information Sources, Alternative Assessment, Data Analysis
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Champion, Robby – Journal of Staff Development, 2002
Limiting data collection to a sample group is one way to increase effectiveness in dealing with data. The paper describes how to draw a sample group (random sampling, stratified random sampling, purposeful sampling, and convenient or opportunity sampling) and discusses how to determine the size of the sample group. (SM)
Descriptors: Data Analysis, Data Collection, Elementary Secondary Education, Evaluation Methods
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Many, Thomas W.; Jakicic, Christine – Journal of Staff Development, 2006
Teachers at Woodlawn Middle School in Long Grove, Illinois are no different than most. They were discouraged by the amount of testing taking place in their classrooms, frustrated with not having the kind of data they needed, and feeling overwhelmed by the data they did have. The teachers wanted to make better schoolwide instructional decisions,…
Descriptors: Data Analysis, Testing, Achievement, Student Evaluation
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Wellman, Bruce; Lipton, Laura – Journal of Staff Development, 2000
Teachers' quests for more data-based planning, problem solving, and decision making often stumble against limited capacities for engaging in thoughtful interactions, with groups typically lacking process tools, collaborative communication skills, and reflective habits. This article presents a three-phase model for guiding data-driven dialogue in…
Descriptors: Communication Skills, Data Analysis, Elementary Secondary Education, Group Dynamics
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Danna, Stephen – Journal of Staff Development, 2004
This paper discusses the importance of evaluating state assessment data in order to improve learning. The Glens Falls City School District in upstate New York began in-depth analyses of state assessment data and Terra Nova scores over the last three years. Teachers and administrators work together in a new way to highlight strengths and weaknesses…
Descriptors: Data Analysis, Urban Schools, Standardized Tests, Academic Achievement
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Crosby, Jeanie – Journal of Staff Development, 1982
Six areas of staff development program evaluation in which participants may be meaningfully involved are: (1) clarification of the program's goals; (2) development of a design for the evaluation study; (3) development of methods for measurement; (4) analysis of information; (5) response to evaluation instruments; and (6) reporting on an evaluation…
Descriptors: Data Analysis, Educational Objectives, Evaluation Methods, Measurement Techniques
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LeTendre, Brenda Guenther – Journal of Staff Development, 2000
Getting answers to questions about schools and student learning requires that educators know how to collect, analyze, and interpret data. Six critical steps in this process include: posing questions, establishing judgment criteria, making a plan, gathering data, analyzing data, and interpreting results. These steps can serve as a beginning guide…
Descriptors: Data Analysis, Data Collection, Educational Research, Educational Researchers
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Ryan, Thomas F.; Crowell, Ronald A. – Journal of Staff Development, 1982
A workshop designed to assist local staff developers with the evaluation of their staff development programs is described. The intent of the workshop is to provide specific technical assistance for implementing a planned and consistent evaluation process. The workshop's goal is to allow a nonspecialist in evaluation to gather data necessary for…
Descriptors: Data Analysis, Evaluation Methods, Evaluators, Lay People
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